


The Neuro-Machine Interaction Lab studies mediums of new human interaction with physiological sensors, specifically sensors that acquire brain data. The purpose is to investigate novel methods to use the brain as a third arm to assist users to perform daily activities. Also, to measure and decode the affective, cognitive, and emotional state of a person to further understand the brain's behavior during while interacting with machines. The work we do is interdisciplinary and benefits from areas of Psychology, Neuroscience, Computer Science, Electrical Engineering, Arts, and others. Previous work done by the Lab Director has been funded by Intel.
Research Areas:
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Brain-Computer Interfaces (BCI)
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Affective BCI
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Artistic BCI
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Brain-Robot Interaction
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Brain-Controlled Drones
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Competitive Brain-Controlled Drones (Brain Racing)
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Human-Computer Interaction/User Experience
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Personal Informatics/Quantified-Self
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Human-Drone Interaction
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Virtual Reality/Augmented Reality
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